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---
library_name: transformers
license: mit
base_model: AnonymousCS/populism_xlmr_large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_213
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# populism_classifier_213
This model is a fine-tuned version of [AnonymousCS/populism_xlmr_large](https://huggingface.co/AnonymousCS/populism_xlmr_large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2244
- Accuracy: 0.9441
- 1-f1: 0.0
- 1-recall: 0.0
- 1-precision: 0.0
- Balanced Acc: 0.5
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
| 0.0622 | 1.0 | 108 | 0.2190 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.2087 | 2.0 | 216 | 0.2302 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1758 | 3.0 | 324 | 0.2159 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1383 | 4.0 | 432 | 0.2495 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.567 | 5.0 | 540 | 0.2384 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.0451 | 6.0 | 648 | 0.2244 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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